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» Gaussian Processes for Machine Learning (GPML) Toolbox
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JMLR
2010
147views more  JMLR 2010»
14 years 7 months ago
Gaussian Processes for Machine Learning (GPML) Toolbox
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
Carl Edward Rasmussen, Hannes Nickisch
84
Voted
ICML
2009
IEEE
16 years 1 months ago
Function factorization using warped Gaussian processes
Mikkel N. Schmidt
110
Voted
ECML
2007
Springer
15 years 2 months ago
Approximating Gaussian Processes with H2-Matrices
Steffen Börm, Jochen Garcke
89
Voted
ICML
2009
IEEE
16 years 1 months ago
Non-linear matrix factorization with Gaussian processes
Neil D. Lawrence, Raquel Urtasun